Search results for "natural language"
showing 10 items of 650 documents
Response to I. Batinic-Haberle et al.
2016
Letter to the editor.-- et al.
Gene-based and semantic structure of the Gene Ontology as a complex network
2012
The last decade has seen the advent and consolidation of ontology based tools for the identification and biological interpretation of classes of genes, such as the Gene Ontology. The information accumulated time-by-time and included in the GO is encoded in the definition of terms and in the setting up of semantic relations amongst terms. This approach might be usefully complemented by a bottom-up approach based on the knowledge of relationships amongst genes. To this end, we investigate the Gene Ontology from a complex network perspective. We consider the semantic network of terms naturally associated with the semantic relationships provided by the Gene Ontology consortium and a gene-based …
Towards Self-explanatory Ontology Visualization with Contextual Verbalization
2016
Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. We propose to combine ontology visualizations with contextual ontology verbalizations of selected ontology (diagram) e…
Correction: The landscape of epilepsy-related GATOR1 variants
2019
International audience; The original version of this article contained an error in the spelling of the author Erik H. Niks, which was incorrectly given as Erik Niks. This has now been corrected in both the PDF and HTML versions of the article.
Defining sensory descriptors: towards writing rules based on terminology
2007
International audience; Descriptive analysis relies upon the use of sensory descriptors. They are words generally associated to a definition aimed at helping their understanding. However, the writing rules for such definitions remain implicit. The present work is a collaborative attempt from sensory analysts and linguists to get further insight into how definitions are elaborated.Definition formulations were analyzed according to linguistic criteria, syntactic (type and number of nouns, verbs and adjectives) as well as semantic ones (relations of synonymy, metaphor or analogy between the descriptors and their definitions). Such a linguistic analysis was performed on one hundred descriptor d…
Attention-based Model for Evaluating the Complexity of Sentences in English Language
2020
The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…
Deep neural attention-based model for the evaluation of italian sentences complexity
2020
In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.
Mitigation and boosting as face-protection functions
2020
Abstract Mitigation is undeniably and necessarily linked with the social aspect of communication. No speaker mitigates an utterance without a goal in mind, which makes mitigation a means to an end and not an end in itself. Even though the various definitions of mitigation do not assign the same aims to this phenomenon, the social impact it has on the participants in the communication is generally agreed upon throughout the literature (Fraser, 1980; Meyer-Hermann, 1988; Bazzanella et al., 1991; Briz, 1998, 2003; Caffi, 1999; Thaler, 2012; Briz and Albelda, 2013; Schneider, 2013; Albelda et al., 2014; Albelda, 2016, 2018). In this paper, the mitigating and boosting strategies in relationship …
Why Digital Games Can Be Advantageous in Vocabulary Learning
2021
Vocabulary learning is an integral part of language learning; however, it is difficult. Although there are many techniques proposed for vocabulary learning and teaching, researchers still strive to find effective methods. Recently, digital games have shown potentials in enhancing vocabulary acquisition. A majority of studies in digital game-based vocabulary learning (DGBVL) literature investigate the effectiveness of DGBVL tasks. In other words, there are enough answers to what questions in DGBVL literature whereas why questions are rarely answered. Finding such answers help us learn more about the structure of the DGBVL tasks and their effects on vocabulary learning. Hence, to achieve this…
Recycling a genre for news automation: The production of Valtteri the Election Bot
2020
Abstract The amount of available digital data is increasing at a tremendous rate. These data, however, are of limited use unless converted into a user-friendly form. We took on this task and built a natural language generation (NLG) driven system that generates journalistic news stories about elections without human intervention. In this paper, after presenting an overview of state-of-the-art technologies in NLG, we explain systematically how we identified and then recontextualized the determinant aspects of the genre of an online news story in the algorithm of our NLG software. In the discussion, we introduce the key results of a user test we carried out and some improvements that these re…